A5036704034- Balance, Gait, and Falls Prevention
- Musculoskeletal pain and rehabilitation
- Cerebral Palsy and Movement Disorders
- Muscle activation and electromyography studies
- Tactile and Sensory Interactions
- Diabetic Foot Ulcer Assessment and Management
- Stroke Rehabilitation and Recovery
- Motor Control and Adaptation
- Effects of Vibration on Health
- Pressure Ulcer Prevention and Management
- Ergonomics and Musculoskeletal Disorders
- Rheumatoid Arthritis Research and Therapies
- Spondyloarthritis Studies and Treatments
- Context-Aware Activity Recognition Systems
- Autoimmune and Inflammatory Disorders Research
- Sports injuries and prevention
- Sports Performance and Training
- Health, Medicine and Society
- Advanced Sensor and Energy Harvesting Materials
- Mobile Health and mHealth Applications
- Wound Healing and Treatments
- Lower Extremity Biomechanics and Pathologies
- Parkinson's Disease Mechanisms and Treatments
- Non-Invasive Vital Sign Monitoring
- Injury Epidemiology and Prevention
Université Grenoble Alpes
2016-2025
Institut Universitaire de France
2016-2025
Agence Régionale de Santé Ile-de-France
2018-2025
Centre Inria de l'Université Grenoble Alpes
2020-2024
Centre National de la Recherche Scientifique
2013-2024
Institut polytechnique de Grenoble
2020-2024
Orange (France)
2019-2024
Institut de France
2018-2022
HES-SO University of Applied Sciences and Arts Western Switzerland
2022
Grenoble Images Parole Signal Automatique
2021
Medical image segmentation is an important tool for current clinical applications. It the backbone of numerous diagnosis methods, oncological treatments and computer-integrated surgeries. A new class machine learning algorithm, deep algorithms, outperforms results classical in terms accuracy. However, these techniques are complex can have a high range variability, calling reproducibility into question. In this article, through literature review, we propose original overview sources...
Background Although agricultural health has gained importance, to date, much of the existing research relies on traditional epidemiological approaches that often face limitations related sample size, geographic scope, temporal coverage, and range events examined. To address these challenges, a complementary approach involves leveraging reusing data beyond its original purpose. Administrative databases (AHDs) are increasingly reused in population-based digital public health, especially for...
Over the years, smartphones have become tools for scientific and clinical research. They can, instance, be used to assess range of motion joint angle measurement. In this paper, our aim was determine if are reliable accurate enough This work proposes an evaluation different smartphone sensors performance manufacturer algorithm performances with comparison gold standard, industrial robotic arm actual standard use inertial unit in measurement, Xsens product. Both dynamic static protocols were...
Fatigue can develop during prolonged computer work, particularly in elderly individuals. This study investigated eye movement characteristics relation to fatigue development. Twenty young and 18 healthy adults were recruited perform a functional task while their movements recorded. The lasted 40 minutes involving 240 cycles divided into 12 segments. Each cycle consisted of sequence memorization pattern, washout period, replication the pattern using mouse. participants rated perceived after...
Rheumatoid arthritis (RA) requires early diagnosis and tight surveillance of disease activity. Remote self-collection blood for the analysis inflammation markers autoantibodies could improve monitoring RA facilitate identification individuals at-risk RA.
Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. The aim of this study was compare accuracy an artificial intelligence (AI)-based symptom checker (Ada) physicians regarding presence/absence inflammatory rheumatic disease (IRD). In survey study, German-speaking with prior rheumatology working experience were asked determine IRD suggest diagnoses for 20 different real-world patient vignettes, which included only basic symptom-related medical...
Abstract The risk of Parkinson’s disease (PD) associated with farming has received considerable attention, in particular for pesticide exposure. However, data on PD specific activities is lacking. We aimed to explore whether exhibited a higher than others among the entire French farm manager (FM) population. A secondary analysis real-world administrative insurance claim and electronic health/medical records (TRACTOR project) was conducted estimate 26 using mining. cases were identified...
VUILLERME, N., N. FORESTIER, and V. NOUGIER. Attentional demands postural sway: the effect of calf muscles fatigue. Med. Sci. Sports Exerc., Vol. 34, No. 12, pp. 1907–1912, 2002. Purpose The purpose present experiment was to investigate whether muscle fatigue affects sway in bipedal stance requires additional attentional demands. Methods Nine healthy university students had respond as rapidly possible an unpredictable auditory stimulus while maintaining stable seated upright postures with...
The assessment of pressure pain threshold (PPT) provides a quantitative value related to the mechanical sensitivity deep structures. Although excellent reliability PPT has been reported in numerous anatomical locations, its absolute and relative lower back region remains be determined. Because high prevalence low general population because is one leading causes disability industrialized countries, assessing thresholds over particularly interest. purpose this study was (1) evaluate intra-...
Any mobility aid for the visually impaired people should be able to accurately detect and warn about nearly obstacles. In this paper, we present a method support system obstacle in indoor environment based on Kinect sensor 3D-image processing. Color-Depth data of scene front user is collected using with standard framework 3D sensing OpenNI processed by PCL library extract accurate information The experiments have been performed dataset multiple scenarios different lighting conditions....
Abstract Background Timely diagnosis and treatment are essential in the effective management of inflammatory rheumatic diseases (IRDs). Symptom checkers (SCs) promise to accelerate diagnosis, reduce misdiagnoses, guide patients more effectively through health care system. Although SCs increasingly used, there exists little supporting evidence. Objective To assess diagnostic accuracy, patient-perceived usability, acceptance two SCs: (1) Ada (2) Rheport. Methods Patients newly presenting a...
<h3>Objective</h3> To identify candidate biomarkers of walking recovery with motor tract integrity measurements using fractional anisotropy (FA) from the corticospinal (CST) and alternative pathways in patients moderate to severe subacute stroke. <h3>Methods</h3> Walking was first assessed generalized linear mixed model (GLMM) repeated measures scores (WS) over 2 years follow-up a longitudinal study 29 ischemic Baseline FA ipsilesional contralesional CST (i-CST c-CST), cortico-reticulospinal...
The global COVID-19 pandemic has led to drastic changes in the management of patients with rheumatic diseases. Due imminent risk infection, monitoring intervals have prolonged. aim this study is present insights from patients, rheumatologists, and digital product developers on ongoing health transition rheumatology. A qualitative participatory semi-structured fishbowl approach was conducted gain detailed a total 476 participants. main findings show that remote care are generally welcomed by...
Introduction An increasing number of digital tools, including dedicated diagnostic decision support systems (DDSS) exist to better assess new symptoms and understand when where seek medical care. The aim this study was evaluate patient's previous online assessment experiences compare the acceptability, usability, usefulness potential impact artificial intelligence (AI)-based symptom checker (Ada) an questionnaire-based self-referral tool (Rheport). Materials Methods Patients newly presenting...